{"id":"W4404865421","doi":"10.1016/j.cjca.2024.11.025","title":"Physical Activity and Sedentary Behaviour Thresholds for Secondary Prevention of Coronary Heart Disease: Morbidity Survival Tree Analysis","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Physical Activity and Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NSW Ministry of Health; Hjärt-Lungfonden; Cancer Council NSW; Sax Institute; University of Canberra; National Heart Foundation of Australia","keywords":"Medicine; Coronary heart disease; Physical activity; Internal medicine; Secondary prevention; Tree (set theory); Cardiology; Coronary disease; Sedentary behavior; Disease; Physical therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00751791,0.0005595488,0.0007007449,0.001668963,0.0003205045,0.000973253,0.0006896368,0.0005123228,0.002300192],"category_scores_gemma":[0.01353187,0.0002564946,0.002376435,0.001228086,0.0002825481,0.0006569001,0.0009045752,0.001214442,0.000286205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005509116,"about_ca_system_score_gemma":0.001022334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006662276,"about_ca_topic_score_gemma":0.004557954,"domain_scores_codex":[0.9973985,0.001623546,0.0001409791,0.0003355235,0.000278532,0.0002228594],"domain_scores_gemma":[0.9889108,0.007409093,0.001695948,0.0006173087,0.0007939685,0.000572844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008563889,0.0001121121,0.9800298,0.00006751234,0.0007524908,0.00007101995,0.00011356,0.006236042,0.0002123822,0.0004210868,0.0007861762,0.01034154],"study_design_scores_gemma":[0.0001463207,0.0009653614,0.7828043,0.00008876189,0.001117712,0.000352732,0.000214851,0.2098844,0.0003361917,0.003125687,0.0009196033,0.0000440135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749725,0.0006196043,0.02141823,0.0005141196,0.00003151891,0.00009786202,0.001545596,0.0001364278,0.0006641924],"genre_scores_gemma":[0.9942244,0.00009719806,0.004442476,0.00003752798,0.00001528906,0.00004773781,0.0009695232,0.00001324509,0.0001526881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00751791,"threshold_uncertainty_score":0.03975898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0444988623494959,"score_gpt":0.3408361158593768,"score_spread":0.2963372535098809,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}